TY - JOUR
T1 - Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE
AU - Wang, Zhijun
AU - Chapiro, Julius
AU - Schernthaner, Rüdiger
AU - Duran, Rafael
AU - Chen, Rongxin
AU - Geschwind, Jean François
AU - Lin, Ming De
N1 - Funding Information:
Funding Sources: Support for this work was provided by National Institutes of Health/National Cancer Institute ( R01 CA160771 and P30 CA006973 ); Philips Research North America , Briarcliff Manor, NY; the Rolf W. Guenther Foundation for Radiological Science; and the Beijing Nova Program ( Z121107002512127 ).
Publisher Copyright:
© 2015 AUR.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - Rationale and Objectives: To validate the concordance of a semiautomated multimodality lesion segmentation technique between contrast-enhanced magnetic resonance imaging (CE-MRI), cone-beam computed tomography (CBCT), and multidetector CT (MDCT) in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). Materials and Methods: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature "semiautomatic". On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R2 values). Residual plots were used to analyze drift and variance of the values. Results: The mean value of tumor volumes was 18.72±19.13cm3 (range, 0.41-59.16cm3) on CE-MRI, 21.26±21.99cm3 (range, 0.62-86.82cm3) on CBCT, and 19.88±20.88cm3 (range, 0.45-75.24cm3) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P=.577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R2=0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10% of absolute volumes (in cm3). Conclusions: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.
AB - Rationale and Objectives: To validate the concordance of a semiautomated multimodality lesion segmentation technique between contrast-enhanced magnetic resonance imaging (CE-MRI), cone-beam computed tomography (CBCT), and multidetector CT (MDCT) in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). Materials and Methods: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature "semiautomatic". On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R2 values). Residual plots were used to analyze drift and variance of the values. Results: The mean value of tumor volumes was 18.72±19.13cm3 (range, 0.41-59.16cm3) on CE-MRI, 21.26±21.99cm3 (range, 0.62-86.82cm3) on CBCT, and 19.88±20.88cm3 (range, 0.45-75.24cm3) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P=.577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R2=0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10% of absolute volumes (in cm3). Conclusions: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.
KW - C-arm cone-beam CT
KW - Hepatocellular carcinoma
KW - MDCT
KW - MRI
KW - TACE
KW - Tumor segmentation
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U2 - 10.1016/j.acra.2015.03.001
DO - 10.1016/j.acra.2015.03.001
M3 - Article
C2 - 25863795
AN - SCOPUS:84930575583
SN - 1076-6332
VL - 22
SP - 840
EP - 845
JO - Academic Radiology
JF - Academic Radiology
IS - 7
ER -